• Robust Python proficiency with experience in FastAPI, asyncio, modular application design, and parallel processing.
• Develop scalable and modular Python applications for deploying generative AI solutions.
• Build and manage cloud infrastructure using AWS services (S3, Lambda, DynamoDB, ECS, EKS).
• Automate infrastructure provisioning and configuration using Terraform.
• Collaborate with data scientists, ML engineers, and product teams to integrate AI models into domain-specific applications.
• Ensure production-grade scalability, reliability, and security of GenAI systems.
• Monitor and optimize system performance using tools like AWS CloudWatch.
• Stay updated with advancements in GenAI, cloud computing, MLOps, and DevOps.
• Contribute to code reviews, documentation, and Python development best practices.
• Solid Python proficiency with experience in FastAPI, asyncio, modular application design,



and parallel processing.
• Develop scalable and modular Python applications for deploying generative AI solutions.
• Build and manage cloud infrastructure using AWS services (S3, Lambda, DynamoDB, ECS, EKS).
• Automate infrastructure provisioning and configuration using Terraform.
• Collaborate with data scientists, ML engineers, and product teams to integrate AI models into domain-specific applications.
• Ensure production-grade scalability, reliability, and security of GenAI systems.
• Monitor and optimize system performance using tools like AWS CloudWatch.
• Stay updated with advancements in GenAI, cloud computing, MLOps, and DevOps.
• Contribute to code reviews, documentation, and Python development best practices.

📌 Gen Ai Developer Bengaluru (India)
🏢 Infosys
📍 India